Role of Artificial Intelligence for Colon Polyp Detection and Diagnosis and Colon Cancer.

Journal: Gastrointestinal endoscopy clinics of North America
PMID: 40021235

Abstract

The broad use of artificial intelligence (AI) and its various applications have already shown significant impact in medicine and in everyday life. In gastroenterology, the most studied AI tools at present are computer-aided detection (CADe) and computer-aided diagnosis (CADx). These tools have been mainly assessed during colonoscopy for the detection of polyps and for the prediction of their histology based on their appearance. Their use aims to improve colonoscopy quality, standardize procedures, and potentially reduce costs. Data on CADe demonstrate clear benefits that are applicable to clinical practice. While CADx shows good diagnostic performance, its additional benefits in assisting endoscopists remain unclear.

Authors

  • Tommy Rizkala
    Endoscopy Unit, Humanitas Clinical Center - IRCCS, Rozzano, Italy.
  • Maddalena Menini
    Endoscopy Unit, Department of Gastroenterology, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, Milan 20089, Italy.
  • Davide Massimi
    Endoscopy Unit, Department of Gastroenterology, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, Milan 20089, Italy.
  • Alessandro Repici
    Digestive Endoscopy Unit, Division of Gastroenterology, Humanitas Clinical and Research Center IRCCS, Rozzano, 20089, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, MI, Italy.

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